Information nervous system

Abstract

A semantically integrated knowledge retrieval, management, delivery and presentation system.

Description

COPYRIGHT NOTICE[0001]This disclosure is protected under United States and International Copyright Laws. © 2002-2007 Nosa Omoigui. All Rights Reserved. A portion of the disclosure of this patent document contains material which is subject to copyright protection. The copyright owner has no objection to the facsimile reproduction by anyone of the patent document or the patent disclosure after formal publication by the USPTO, as it appears in the Patent and Trademark Office patent file or records, but otherwise reserves all copyrights whatsoever.BACKGROUND OF THE INVENTION[0002]The following application is incorporated by reference as if fully set forth herein: U.S. application Ser. No. 11 / 548,627 filed Oct. 11, 2006. This invention relates generally to computers and, more specifically, to information management and / or research systems.BRIEF DESCRIPTION OF THE DRAWINGS[0003]Preferred and alternative embodiments of the present invention are described in detail below with reference to t...

AI Technical Summary

Benefits of technology

"The patent describes a system for managing information and researching topics using a combination of ontology and semantic stemming. The system allows users to easily search for relevant information by using natural language queries. The system also allows users to save and email entities to each other, and to open entities in a knowledge community like Medline. The system also includes a feature that allows users to specify relevant keywords and the system automatically generates queries based on those keywords. The system uses semantic stemming to parse user queries and map them to relevant ontologies. The system also includes a mechanism for pruning queries to improve usability. Overall, the system provides a flexible and efficient way for managing information and conducting research."

Problems solved by technology

However, this can be problematic because the category’ might not be “understood” (i.e., the category's ontology might not be supported) in other Knowledge Communities in the contextual profile.

However, with categories as the source context, things get a bit trickier for the reason described above.

Hard-coded category references have the problem of brittleness, especially in the context of ontology versioning.

A category path or URI might become invalid if an ontology's hierarchy fundamentally changes.

When there are multiple SQML filter entries that may require dynamic semantic interpretation and query generation, the resultant query can be very complicated.

One limitation of this approach is that the user is not able to combine a knowledge type qualifier with an information type qualifier (they are mutually exclusive).

As such, it can be limiting merely to use ontologies as a source of relevance in this context.

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